Evidence map›Paper›PMID 30134684›Full record

ArticleThe Journal of chemical physics2018

A mixed alchemical and equilibrium dynamics to simulate heterogeneous dense fluids: Illustrations for Lennard-Jones mixtures and phospholipid membranes.

Arman Fathizadeh, Ron Elber

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Arman FathizadehInstitute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
Ron ElberInstitute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 000000017849415X

Funding

Modeling Membrane Dynamics and PermeationR01GM111364 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI CARDENAS, ALFREDO, ELBER, RON · 2016 to 2023
$2.5M
NIGMS NIH HHS R01 GM111364
6 · The paper itself

Abstract

An algorithm to efficiently simulate multi-component fluids is proposed and illustrated. The focus is on biological membranes that are heterogeneous and challenging to investigate quantitatively. To achieve rapid equilibration of spatially inhomogeneous fluids, we mix conventional molecular dynamics simulations with alchemical trajectories. The alchemical trajectory switches the positions of randomly selected pairs of molecules and plays the role of an efficient Monte Carlo move. It assists in accomplishing rapid spatial de-correlations. Examples of phase separation and mixing are given in two-dimensional binary Lennard-Jones fluid and a DOPC-POPC membrane. The performance of the algorithm is analyzed, and tools to maximize its efficiency are provided. It is concluded that the algorithm is vastly superior to conventional molecular dynamics for the equilibrium study of biological membranes.

Indexed as

AlgorithmsLipid BilayersModels, ChemicalMolecular Dynamics SimulationMonte Carlo MethodPhosphatidylcholines1,2-oleoylphosphatidylcholine1-palmitoyl-2-oleoylphosphatidylcholineLipid BilayersPhosphatidylcholines

Identifiers

PMID30134684
PMCPMC6018062

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.